Weather Warnings creation, communication and dissemination tool - Conforming to CAP v1.2 Standards

Open-source disaster risk intelligence platform for US municipalities — powered by FEMA, USGS & NOAA public data

Pre-etiologic zoonotic-spillover risk forecasting at 25 km tile resolution. Methodology, 25-event validation cohort, 8-layer governance framework, MCP server source, regulatory pathway. Aqta Technologies Limited (Dublin).

Real-time GitHub exploit PoC monitor that scores, analyzes, and alerts on newly published CVE exploits before they trend. Built to give defenders a head start.

Geopolitical early warning system for the Iran-USA-Israel crisis. Real-time event ingestion, 7 risk indices, 5 escalation scenarios with explainable alerts. FastAPI + Next.js + PostgreSQL + Celery on Railway.

Simulated hospital deterioration dataset: 10,000 admissions, hourly vitals+labs over a 72h cohort, with ML-ready tables incl. “next 12h” early-warning target.

System detects the firearm or any other lethal weapon carried by any person and alerts the security team to act before any bad incident occurs

A $15 seismometer in every home - open-source distributed earthquake early-warning sensor mesh (ESP32 + MEMS).

🌩️ Pantau peringatan dini cuaca Kepulauan Riau secara real-time. Data resmi BMKG dengan desain Liquid Glass khas iOS 26 yang bersih, ringan, dan cepat! ⚡

12h clinical deterioration early-warning baseline: tabular models (LogReg / HistGradientBoosting / optional XGBoost), simple probability ensemble, and cost-based threshold/policy tables exported for dashboards.

Hospital deterioration early-warning EDA (first 72h): cohort KPIs, event timing, risk-score behavior, physiologic trajectories, and a toy alert-policy view.

An EEW app for Android and Windows. Currently in development. iOS and Linux are coming!

Asset-centered geopolitical early-warning and strategic intelligence platform for escalation analysis, infrastructure risk, and global event monitoring.

Vedura is a government-oriented public health awareness and early signal intelligence platform designed to support authorities with population-level insights while providing verified, multilingual health guidance to citizens.

Fourier-based Low-Frequency Spectral Dynamics Network for differentiable spectral learning, early-warning analysis, and physics-aware modeling of complex dynamical systems.

Lightweight smart-ag alert pipeline powered by Open-Meteo & Sentinel-2. Features highly customizable ROIs, time ranges, season gating, and rule thresholds for one-click alerts, event merging, and explainable reporting.

A multi-domain geophysical correlation model linking Schumann Resonance, crustal energy, TEC anomalies, and EM events.

Hybrid network + ML framework for corporate financial-distress prediction using network features and classic financial indicators.

Which ICU variables warn of sepsis earliest? A temporal analysis of 40,336 patients that reveals what the model ignores and why.

Early Slip Predictor focused on identifying early indicators of delivery slippage by analysing capacity pressure and task behaviour across work centres. Using simple machine‑learning techniques and clear capacity metrics, the team demonstrated how likely future slip can be predicted early and translated into understandable risk signals.